The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Central obesity, smoking habit, and hypertension are associated with lower antibody titres in response to COVID‐19 mRNA vaccine
This article has 17 authors:Reviewed by ScreenIT
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A glycan gate controls opening of the SARS-CoV-2 spike protein
This article has 17 authors:Reviewed by ScreenIT
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Spread and sources of information and misinformation about COVID-19 early during the pandemic in a U.S. national cohort study
This article has 14 authors:Reviewed by ScreenIT
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ACE2-lentiviral transduction enables mouse SARS-CoV-2 infection and mapping of receptor interactions
This article has 11 authors:Reviewed by ScreenIT
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Patient Representatives’ Perspectives on Healthcare at the Time of COVID-19 and Suggestions for Care Redesign After the Pandemic: A Qualitative Study in Twenty-Four Countries
This article has 9 authors:Reviewed by ScreenIT
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Rapid Increase of SARS-CoV-2 Variant B.1.1.7 Detected in Sewage Samples from England between October 2020 and January 2021
This article has 8 authors:Reviewed by ScreenIT
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Elicitation of broadly protective sarbecovirus immunity by receptor-binding domain nanoparticle vaccines
This article has 49 authors:Reviewed by ScreenIT
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Evaluation of Measles Surveillance System amidst Covid – 19 pandemic in Asutifi North District, Ahafo Region, Ghana
This article has 2 authors:Reviewed by ScreenIT
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National hospital readiness for COVID-19 in Lesotho: evidence for oxygen ecosystem strengthening
This article has 7 authors:Reviewed by ScreenIT
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Limited within-host diversity and tight transmission bottlenecks limit SARS-CoV-2 evolution in acutely infected individuals
This article has 11 authors:Reviewed by ScreenIT